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  {\LARGE Centro de Investigaci\'on y de Estudios Avanzados}\\
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  {\Large Laboratory of Information Technology \\
  Cinvestav - Tamaulipas  }\\ %%\Large
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  {\huge \textsc{Web search based on\\ [4mm] domain ontologies} \\    
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  {\large \bf Dulce Mar\'ia Aguilar L\'opez} \\
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  \textnormal {\normalsize Thesis presented to obtain the degree of \\Master in Computer Science}}\\
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  \textnormal {\normalsize {\textit{Supervisor}: \\
                            Dr. Iv\'an L\'opez Ar\'evalo }}\\
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  {Ciudad Victoria, Tamaulipas, M\'exico, August, 2008.}

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  {\large \bf{Web search based on domain ontologies}}\\
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  \noindent \textbf{Copyright \copyright\ 2008 by Dulce Mar\'ia Aguilar L\'opez}.\\
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  \textit{\LARGE {Dedicated to}}\\
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       My family for its unconditional support, with all my love.\\
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To my family for its infinite comprehension and unconditional support, for all the advises and encourages to go ahead.  \\

To Daniel for being always a support in my life, by share the bad and good moments with me.  \\

To my supervisor, Dr. Iv\'an L\'opez, for his support and advises in carrying out of this thesis.   \\

This work has been carried out with the economic support of the CONACyT and the administrative and technical support of the Laboratory of Information Technology (Cinvestav - Tamaulipas). Thanks especially to Dr. Arturo D\'iaz for give me the opportunity to belong to this institution.  \\

Without the support of one or another way of all these people I do not have been able to carry out this work. To all they, many thanks.\\

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Dulce Mar\'ia Aguilar L\'opez


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The extensive growing of the World Wide Web and the lack of a document classification way have generated that to get relevant results from a Web search be a big challenge. Until now the Web pages are unstructured and human oriented, and that Web search engines are a great help for accessing Web resources, nevertheless their classification algorithms are still limited since they only check the presence of a specific keyword or links, they do not analyze the semantic content of the resources. It is desirable that the content of resulting Web pages from search engines really corresponds  to the user desired topic.  \\

In recent years, too much work is being related to convert the Web from an information space to a knowledge space by using common structures. One way to achieve it is to compute the matching of Web contents to formal vocabulary of the topic (previously defined ontologies of the topic) and the informal vocabulary (common terms of the topic but not in the ontology). In this work a Web search approach is described. This approach integrates previously built ontologies, the WordNet thesaurus, and a hierarchical similarity measure. The implementation of this approach looks for Web pages that are not in the Semantic Web approach. In contrast with the expensive runtime of the implementation, the resulting Web pages are exactly within the chosen domain. \\

This proposal is distinguished of other since it uses ontologies of several domains (which are chosen according to the search needs of the user), the WordNet thesaurus (as base for the implementation of a disambiguation process using Second Order Context Vectors) and the measure of hierarchical similarity named Generalized Cosine Similarity Measure. With this proposal the resulting Web pages of a search really belong to the desired domain, and they are ordered according to their similarity with such domain.   \\


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